{"id":"W3160150257","doi":"10.1109/icassp39728.2021.9413532","title":"Fast Inverse Mapping of Face GANs","year":2021,"lang":"en","type":"article","venue":"","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Artificial intelligence; Face (sociological concept); Generator (circuit theory); Computer vision; Generative grammar; Pixel; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005581833,0.0007541185,0.0004683417,0.0003387357,0.000200306,0.0004323352,0.0006561336,0.0005557929,0.004040138],"category_scores_gemma":[0.00184849,0.0003333112,0.0004786977,0.0002039413,0.000558391,0.0007003876,0.001020496,0.001171466,0.001023678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005143099,"about_ca_system_score_gemma":0.0003208306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00142615,"about_ca_topic_score_gemma":0.001714087,"domain_scores_codex":[0.9997481,0.0000704146,0.000006753787,0.00005820804,0.00008313041,0.00003329705],"domain_scores_gemma":[0.9996303,0.0002032904,0.00002444597,0.00006992619,0.00005190114,0.00002008134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001019604,0.0000331132,0.0003615035,0.00004983554,0.00002901701,0.0001143165,0.00005623149,0.8833457,0.009933133,0.02238962,0.003024638,0.080561],"study_design_scores_gemma":[0.000003415194,0.00001026587,0.00005303307,0.000003330998,0.000001641922,0.00002867817,0.000004049085,0.9907516,0.00158604,0.006900734,0.0006541373,0.000002986628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02500666,0.0002484237,0.9666184,0.0002249582,0.00007058561,0.00004350031,0.000106489,0.001230158,0.006450947],"genre_scores_gemma":[0.80801,0.0003047439,0.1792146,0.0003010587,0.00006720545,0.0001239999,0.0004510686,0.0003726776,0.01115458],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004040138,"threshold_uncertainty_score":0.01351565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116948104376609,"score_gpt":0.2180115968187299,"score_spread":0.1968421157749639,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}